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Ralph Charles Mac Nally

Researcher at University of Melbourne

Publications -  256
Citations -  14540

Ralph Charles Mac Nally is an academic researcher from University of Melbourne. The author has contributed to research in topics: Species richness & Biodiversity. The author has an hindex of 59, co-authored 255 publications receiving 12980 citations. Previous affiliations of Ralph Charles Mac Nally include Monash University & Cooperative Research Centre.

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Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models

TL;DR: In this article, it is suggested that if the two approaches do not agree upon which of the independent variables are likely to be'significant' then the deductions must be subject to doubt.
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Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation

TL;DR: In this article, the authors used a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Para.
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A checklist for ecological management of landscapes for conservation

TL;DR: Six major themes in the ecology and conservation of landscapes are assessed, including recognizing the importance of landscape mosaics, recognizing interactions between vegetation cover and vegetation configuration, and 13 important issues that need to be considered in developing approaches to landscape conservation.
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Multiple regression and inference in ecology and conservation biology: further comments on identifying important predictor variables

TL;DR: It is argued that there are actually two kinds of MR modelling: (1) seeking the best predictive model; and (2) isolating amounts of varianceributable to each predictor variable.
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Scientific foundations for an IUCN Red List of ecosystems.

TL;DR: A new conceptual model for ecosystem risk assessment founded on a synthesis of relevant ecological theories is presented, providing a consistent, practical and theoretically grounded framework for establishing a systematic Red List of the world’s ecosystems.